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Moradpour F, Karimi Z, Fatemi Z, Moradi Y, Khosravi MR, Shokri A, Karimzadeh M. Prevalence of metabolic syndrome and its association with oral health: First results from the Kurdish cohort study. Health Sci Rep 2023; 6:e1602. [PMID: 37841941 PMCID: PMC10568541 DOI: 10.1002/hsr2.1602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 09/05/2023] [Accepted: 09/18/2023] [Indexed: 10/17/2023] Open
Abstract
Aims Investigate the association between oral and dental health (ODH) and metabolic syndrome (MetS) in adults aged 35-70 years. Methods The study utilized data from the enrollment phase of Dehgolan prospective cohort study in the west of Iran. A cross-sectional assessment was conducted on a total of 3996 participants, involving a comprehensive oral examination and the assessment of their oral hygiene behavior (ODH). MetS was defined according to the updated National Cholesterol Education Program Adult Treatment Panel III. Logistic regression used to calculate odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for sociodemographic characteristics. Results MetS was more prevalent among those who not daily brushing and flossing. Participants with missing teeth (MT) show higher prevalent of MetS. Being female, lower age, illiteracy, family history of diabetes, low physical activity, and salt at table were independently associated with increase odds of MetS (p < 0.05). Odds of MetS were significantly decreased with use flossing (OR = 0.75; CI = 0.60-0.93), decayed (OR = 0.83; CI = 0.72-0.97), filled (OR = 0.84; CI = 0.71-0.99), and increased with MT (OR = 1.45; CI = 1.16-1.81) as long as adjusted for ODH factors. When other potential confounder such as sociodemographic, personal and nutritional habits were adjusted, daily flossing was the only factor that still statistically decreased (OR = 0.79; CI = 0.62-0.99) the odds of MetS. Conclusion Daily flossing was the only factor that independently associated with MetS. Relationship of other ODH factors with Mets were confounded by sociodemographic characteristics of the participants.
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Affiliation(s)
- Farhad Moradpour
- Social Determinants of Health Research Center, Research Institute for Health DevelopmentKurdistan University of Medical SciencesSanandajIran
| | - Zahra Karimi
- Vice Chancellor for Research and TechnologyKurdistan University of Medical SciencesSanandajIran
| | - Zeinab Fatemi
- Vice Chancellor for Health AffairsKurdistan University of Medical SciencesSanandajIran
| | - Yousef Moradi
- Department of Epidemiology and Biostatistics, Faculty of MedicineKurdistan University of Medical SciencesSanandajIran
| | | | - Azad Shokri
- Social Determinants of Health Research Center, Research Institute for Health DevelopmentKurdistan University of Medical SciencesSanandajIran
| | - Mohammad Karimzadeh
- Department of Epidemiology and Biostatistics, Faculty of MedicineKurdistan University of Medical SciencesSanandajIran
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De Pergola G, Castellana F, Zupo R, De Nucci S, Panza F, Castellana M, Lampignano L, Di Chito M, Triggiani V, Sardone R, Giannelli G. A family history of type 2 diabetes as a predictor of fatty liver disease in diabetes-free individuals with excessive body weight. Sci Rep 2021; 11:24084. [PMID: 34916558 PMCID: PMC8677812 DOI: 10.1038/s41598-021-03583-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 12/06/2021] [Indexed: 12/12/2022] Open
Abstract
Comprehensive screening for non-alcoholic fatty liver disease (NAFLD) may help prompt clinical management of fatty liver disease. A family history, especially of diabetes, has been little studied as a predictor for NAFLD. We characterized the cross-sectional relationship between a family history of type 2 diabetes (FHT2D) and NAFLD probability in 1185 diabetes-free Apulian (Southern-Italy) subjects aged > 20 years with overweight or obesity not receiving any drug or supplementation. Clinical data and routine biochemistry were analysed. NAFLD probability was defined using the fatty liver index (FLI). A first-degree FHT2D was assessed by interviewing subjects and assigning a score of 0, 1, or 2 if none, only one, or both parents were affected by type 2 diabetes mellitus (T2DM). Our study population featured most females (70.9%, N = 840), and 48.4% (N = 574) of the sample had first-degree FHT2D. After dividing the sample by a FHT2D, we found a higher BMI, Waist Circumference (WC), and diastolic blood pressure shared by FHT2D subjects; they also showed altered key markers of glucose homeostasis, higher triglyceride levels, and worse liver function. FLI scores were significantly lower in subjects without a first-degree FHT2D. After running logistic regression models, a FHT2D was significantly associated with the NAFLD probability, even adjusting for major confounders and stratifying by age (under and over 40 years of age). A FHT2D led to an almost twofold higher probability of NAFLD, regardless of confounding factors (OR 2.17, 95% CI 1.63 to 2.89). A first-degree FHT2D acts as an independent determinant of NAFLD in excess weight phenotypes, regardless of the age group (younger or older than 40 years). A NAFLD risk assessment within multidimensional screening might be useful in excess weight subjects reporting FHT2D even in the absence of diabetes.
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Affiliation(s)
- Giovanni De Pergola
- Unit of Geriatrics and Internal Medicine, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy.
| | - Fabio Castellana
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Roberta Zupo
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Sara De Nucci
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Francesco Panza
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Marco Castellana
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Luisa Lampignano
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Martina Di Chito
- Unit of Geriatrics and Internal Medicine, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Vincenzo Triggiani
- Section of Internal Medicine, Geriatrics, Endocrinology, and Rare Disease, Interdisciplinary Department of Medicine, School of Medicine, University of Bari, 70124, Bari, Italy
| | - Rodolfo Sardone
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Gianluigi Giannelli
- Scientific Direction, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
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